Download Automatic Generation of Combinatorial Test Data by Jian Zhang PDF

By Jian Zhang

This e-book experiences the cutting-edge in combinatorial trying out, with specific emphasis at the computerized new release of try info. It describes the main regularly occurring ways during this zone - together with algebraic building, grasping equipment, evolutionary computation, constraint fixing and optimization - and explains significant algorithms with examples. moreover, the publication lists a few try out new release instruments, in addition to benchmarks and functions. Addressing a multidisciplinary subject, will probably be of specific curiosity to researchers and pros within the parts of software program checking out, combinatorics, constraint fixing and evolutionary computation.

Show description

Read Online or Download Automatic Generation of Combinatorial Test Data PDF

Similar machine theory books

Data Integration: The Relational Logic Approach

Facts integration is a severe challenge in our more and more interconnected yet unavoidably heterogeneous international. there are various facts resources on hand in organizational databases and on public info platforms just like the world-wide-web. no longer strangely, the resources frequently use assorted vocabularies and diversified facts buildings, being created, as they're, by way of diverse humans, at assorted instances, for various reasons.

Approximation, Randomization, and Combinatorial Optimization: Algorithms and Techniques: 4th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2001 and 5th International Workshop on Randomization and Approx

This publication constitutes the joint refereed lawsuits of the 4th overseas Workshop on Approximation Algorithms for Optimization difficulties, APPROX 2001 and of the fifth overseas Workshop on Ranomization and Approximation options in computing device technology, RANDOM 2001, held in Berkeley, California, united states in August 2001.

Relational and Algebraic Methods in Computer Science: 15th International Conference, RAMiCS 2015 Braga, Portugal, September 28 – October 1, 2015, Proceedings

This publication constitutes the lawsuits of the fifteenth foreign convention on Relational and Algebraic equipment in computing device technology, RAMiCS 2015, held in Braga, Portugal, in September/October 2015. The 20 revised complete papers and three invited papers provided have been rigorously chosen from 25 submissions. The papers care for the speculation of relation algebras and Kleene algebras, method algebras; mounted aspect calculi; idempotent semirings; quantales, allegories, and dynamic algebras; cylindric algebras, and approximately their software in components equivalent to verification, research and improvement of courses and algorithms, algebraic methods to logics of courses, modal and dynamic logics, period and temporal logics.

Biometrics in a Data Driven World: Trends, Technologies, and Challenges

Biometrics in a knowledge pushed global: tendencies, applied sciences, and demanding situations goals to notify readers in regards to the smooth functions of biometrics within the context of a data-driven society, to familiarize them with the wealthy background of biometrics, and to supply them with a glimpse into the way forward for biometrics.

Additional info for Automatic Generation of Combinatorial Test Data

Example text

Tests and Proofs, pp. 66–83. Springer, Heidelberg (2008) 5. : Method and system for automatically generating efficient test cases for systems having interacting elements. US Patent 5,542,043, 30 July 1996 6. : The AETG system: an approach to testing based on combinatorial design. IEEE Trans. Softw. Eng. 23(7), 437–444 (1997) 7. : Interaction testing of highly-configurable systems in the presence of constraints. In: Proceedings of the 2007 International Symposium on Software Testing and Analysis, pp.

Obviously this result is optimal. 2 Recursive Constructions For many combinatorial objects, we can use mathematical results to produce large objects from smaller ones. In this subsection, we briefly describe some of the results for covering arrays. 22 2 Mathematical Construction Methods a11 a12 a21 a22 .. N rows . aN1 aN2 b11 b11 b21 b21 .. M rows bM1 bM1 · · · a1k a11 a12 · · · a2k a21 a22 .. · · · aNk aN1 aN2 · · · b11 b12 b12 · · · b21 b22 b22 .. · · · bM1 bM2 bM2 · · · a1k · · · a11 a12 · · · · · · a2k · · · a21 a22 · · · ..

Obviously the resulting matrix is an OA(n 2 , n k+2 , 2). 3 In Fig. 4, the matrix on the right is an OA(9, 34 , 2) constructed from the 2-MOLS(3) on the left. The first column represents the row indices of 2-MOLS(3); the second column represents the column indices of 2-MOLS(3); the third column contains the elements in the first latin square, and the last column contains the elements in the second latin square. 2 Mathematical Methods for Constructing Covering Arrays A covering array is optimal if it has the smallest possible number N of rows.

Download PDF sample

Rated 4.12 of 5 – based on 6 votes